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/*
* Copyright (c) 2019 Samsung Electronics Co., Ltd. All Rights Reserved
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#include "moco/Import/Nodes/Mean.h"
#include <moco/IR/Nodes/TFMean.h>
#include <loco.h>
#include <stdex/Memory.h>
#include <plier/tf/Convert.h>
namespace
{
using namespace moco;
/**
* @brief GraphUpdate for Mean node
*/
class MeanGraphUpdate final : public GraphUpdate
{
public:
MeanGraphUpdate(TFMean *node, const TensorName &&input_name,
const TensorName &&reduction_indices_name)
: _node(node), _input_name(input_name), _reduction_indices_name(reduction_indices_name)
{
// DO NOTHING
}
void input(const SymbolTable *) const override;
private:
TFMean *_node;
const TensorName _input_name;
const TensorName _reduction_indices_name;
};
void MeanGraphUpdate::input(const SymbolTable *table) const
{
loco::Node *input_node = table->node(_input_name);
loco::Node *reduction_indices_node = table->node(_reduction_indices_name);
_node->input(input_node);
_node->reduction_indices(reduction_indices_node);
}
} // namespace
namespace moco
{
bool MeanGraphBuilder::validate(const tensorflow::NodeDef &node) const
{
if (node.input_size() != 2)
return false;
if (!plier::tf::has_attrs(node, {"T", "Tidx", "keep_dims"}))
return false;
auto dtype = plier::tf::get_datatype_attr(node, "Tidx");
if (dtype != tensorflow::DataType::DT_INT32 && dtype != tensorflow::DataType::DT_INT64)
return false;
return true;
}
void MeanGraphBuilder::build(const tensorflow::NodeDef &node, GraphBuilderContext *context) const
{
assert(context != nullptr);
loco::Graph *graph = context->graph();
SymbolTable *tensor_names = context->tensor_names();
UpdateQueue *updates = context->updates();
// creating TF dialect Mean node
auto tf_mean = graph->nodes()->create<TFMean>();
tf_mean->name(node.name());
tf_mean->keep_dims(plier::tf::get_bool_attr(node, "keep_dims"));
TensorName output_name(node.name(), 0);
tensor_names->enroll(output_name, tf_mean);
auto update = stdex::make_unique<MeanGraphUpdate>(tf_mean, TensorName(node.input(0)),
TensorName(node.input(1)));
updates->enroll(std::move(update));
}
} // namespace moco
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